Stroke Rehabilitation Exercise Data Utilizing 3D Depth Sensors and IMU Sensors
Description
There is a need for datasets for physical rehabilitation exercise for stroke. The current most prominent datasets available are the University of Idaho - Physical Rehabilitation Movements Data Set (UI-PRMD), which consists of only skeleton data and KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical Rehabilitation (KIMORE) containing RGB depth video, along with skeleton joint position and orientations. But, as for our knowledge, so far only the KIMORE dataset has defined features and physician’s scoring. In order to add more datasets besides the KIMORE dataset we have produced a setup that uses two methods: multi-scale graph convolution disentanglement and a unified spatial-temporal graph aggregation with a convolution operator named G3D that provides a scoring that is ethically approved by Independent University Bangladesh (IUB)’s institutional review board (IRB). This dataset’s main directory consists of two directories and two .csv files - IMU_Data Directory: Contains 128 files of 128 participants in .csv format. Example: P1.csv, P2.csv…P128.csv. KINECT_Skeleton_Data Direcory: Contains 631 files of 128 participants in .skeleton format. Example: P1_Female_21_Exercise Type 1.skeleton…P128_Male_24_Exercise Type 5.skeleton. Participants_Information.csv: Contains participants’ ID, age, and gender. Participants_with_Performaces_Scores.csv: Contains participants’ control factor (CF) and primary outcome (PO) scores with exercise types. The IMU_Data directory contains data from 2 IMU sensors. There are 128 .csv files consisting of the X, Y, Z axis data of Accelerometer, Gyroscope and Magnetometer present in the IMU sensors. Each individual .csv file consists of 3-5 sheets for the 5 defined exercises for physical rehabilitation. The KINECT_Skeleton_Data direcory contains 631 skeleton files generated using the RGB-D sensors present in the Microsoft Kinect v2. The skeleton files are generated for 3-5 exercises for the 128 participants. Participants_Information.csv file also contains the age, gender, participant ID of 128 individuals. The Participants_with_Performaces_Scores.csv file contains the scores for each exercise of each individual participant. The scores are classified into two categories, Primary Outcome (PO), and Control Factor (CF). POs and CFs signify the movement of upper limbs and physical constraints during the exercises. The 5 exercises: Exercise Type 1: Lifting of the arms features Exercise Type 2: The lateral tilt of the trunk with the arms in extension Exercise Type 3: Trunk rotation Exercise Type 4: Pelvis rotations on the transverse plane Exercise Type 5: Squatting